Work with text using AI

Course ID : AIM-008

Duration In-class (в days) : 4 hours

Duration Online : 4 hours

Сurriculum : in-class, Virtual Instructor-Led Training - ONLINE

Overview

In this masterclass, you’ll master working with neural networks for text generation—from basic queries to advanced strategies. You’ll learn about the best AI text processing tools on the market, their strengths, and limitations.

You’ll understand how to create finished articles, posts, emails, and scripts using neural networks. Learn how to formulate prompts to achieve the desired result on the first try.

As a result, you’ll significantly reduce the time spent on drafts and structure, leaving the creative process to yourself.

Audience for this course

For marketers, managers, technical writers, executive assistants, and analysts—anyone who works extensively with text and wants to delegate routine tasks to neural networks.

It’s also suitable for those who want to master AI-powered writing for confident use in their work.

Prerequisites for this course

Basic experience writing prompts for search tasks is required. No special knowledge of generative models is required.

Outcomes

After completing this course, students will gain the skills to:

    • Quickly generate a variety of texts – from short creative posts and headlines to complex text arrays, such as technical or legal documentation.
    • Efficiently search and structure information.
    • Build prompts to generate the desired result – from short headlines to long articles.
    • Apply advanced prompting strategies (reasoning chain, game scenario, learning by example).
    • Understand the operating principles of large language models, their limitations, and areas of applicability.
    • Consciously select AI tools for a specific task, taking into account the characteristics of each specific model and accessibility features.

Outline

  1. How language models work.
    • What is a language model?
    • Main components, operating principles – context analysis and text generation, use cases, limitations.
    • Overview of popular Russian and international solutions.
    • Advantages, limitations, and availability of generative AI systems from various vendors.
  1. A brief theory of prompting.
    • The term “prompt,” the role of correct query formulations in the operation of language models.
    • Understanding the mechanism of user interaction with models through instructions.
    • Correct formulation question.
    • Consequences of incorrect or inappropriate questions.

       3. Advanced Prompting Strategies.

         The chain of reasoning method, game scenario, creating prompts for specific goals, the example teaching method.

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